264 results about "Current analysis" patented technology

An electronic starting switch assembly and control methods for a dryer having a split-phase induction motor. The assembly comprises a microcontroller unit (MCU) configured to execute a control method that dynamically manages the motor's operation by monitoring the forward magnitude current. The MCU determines a stabilized startup forward magnitude current and calculates a crossover condition, allowing for precise control of the motor's transition to single-phase operation by disconnecting the auxiliary winding and connecting the heater element based on real-time forward magnitude current analysis and processing. The system can also monitor for overload conditions indicative of rotor speed drops and can re-engage the auxiliary winding to maintain motor performance. The assembly includes a housing with a heat-sink for efficient thermal management and environmental protection of electronic components. The disclosed method provides a robust solution for efficient dryer operation by ensuring accurate control of motor start-up, running conditions, and overload protection.

The invention relates to the technical field of electric power regulation and control, in particular to a method and system for controlling an electric power energy storage system, and the method comprises the following steps: obtaining the voltage and current when energy storage equipment is charged, analyzing the voltage fluctuation and current change trend, recognizing a fluctuation point, and calculating the fluctuation amplitude and frequency. And judging the deviation degree between the fluctuation data and the normal operation data of the equipment to obtain an equipment stability index. According to the invention, by monitoring the voltage and current of the energy storage device during the charging period and deeply analyzing the fluctuation characteristics of the electrical parameters, the evaluation accuracy of the stability of the device, the accurate fluctuation point identification and the calculation of the fluctuation amplitude and frequency are significantly improved, and the behaviors of the device in different charging and discharging periods are allowed to be more accurately judged. And the residual capacity of the energy storage equipment is matched with the actual power demand, so that the power distribution efficiency is effectively improved.

The invention relates to the technical field of substations, and discloses a safety assessment system and method for a main grounding grid of a substation. The method comprises the following steps: arranging a multi-point potential gradient sensor for a main grounding grid of a power transmission and transformation project transformer substation and carrying out synchronous measurement to obtain an original potential gradient data set; performing effective signal and interference signal distinguishing processing on the original potential gradient data set to obtain potential distribution information of the transformer substation grounding grid; establishing a transformer substation grounding grid dynamic impedance model for fault current analysis to obtain a whole-process potential distribution diagram including an initial stage, a steady-state stage and a recovery stage; and performing security risk assessment based on the whole-process potential distribution diagram, and outputting a security risk area report. According to the invention, effective measurement signals and interference signals are effectively distinguished, reliability and accuracy of grounding grid potential measurement data in a complex electromagnetic environment are significantly improved, and accurate positioning of a risk area and effective tracking of a hazard source are realized.

The invention belongs to the technical field of permanent magnet assembly, and discloses a sector ring type permanent magnet assembly tool and a driving force prediction method thereof. The tool utilizes an ingenious mechanical structure to limit the freedom degrees of the permanent magnets in all directions, adopts a ball screw transmission scheme and a servo driving mode to control the assembling precision of the permanent magnets, can meet the assembling requirements of the permanent magnets of the inner / outer rotor of the permanent magnet coupler, and can be applied to the assembling field of the permanent magnets with different sizes and shapes by replacing the clamping plates A / B; the method has the advantages of high precision, high efficiency, strong universality, good environment compatibility and the like; meanwhile, according to the driving force prediction method provided by the invention, a permanent magnet equivalent magnetization current analysis model is taken as a theoretical basis, and the magnetic attraction acting force between the permanent magnet to be assembled and the inner / outer rotor hub is determined by solving the space magnetic induction intensity of the permanent magnet to be assembled. The driving force required by assembly is predicted by means of the permanent magnet assembly tool, calculation is easy and convenient, prediction precision is high, and the method is a calculation method with engineering universality and convenience.

The invention belongs to the technical field of fault early warning, and discloses a heater fault early warning method and system based on current analysis. Comprising the steps that transient current signals of all heating wire loops in the copper bush heater are collected in real time, harmonic characteristic parameters are extracted, and a dynamic current fingerprint database and a multi-dimensional harmonic characteristic spectrum are generated respectively; dynamically calculating the contact impedance between each heating wire and the copper sleeve groove according to the dynamic current fingerprint database and the multi-dimensional harmonic characteristic spectrum; the current distribution path of each heating wire in the copper sleeve groove is restored in real time, the abnormal contact form of each heating wire is identified, the falling risk probability and falling risk strength of each heating wire are dynamically predicted by fusing the falling precursor signals of each heating wire detected in real time, and a grading early warning strategy report is generated in real time; according to the invention, fault early warning can be converted into preventive maintenance from post-maintenance, the intelligent level of operation and maintenance of the heater is improved, and the continuity and safety of production are guaranteed.

The invention provides a typhoon intensity evaluation method and system, electronic equipment and a storage medium. The typhoon intensity evaluation method comprises the steps that a satellite data set is acquired; the satellite data set comprises brightness temperature data and latitude and longitude data of a plurality of data grid points; determining a plurality of data grid points in the typhoon calculation area to obtain position information of a typhoon center point; related data grid points are intercepted in the satellite data set, and the typhoon calculation area is divided into a plurality of concentric circular ring areas based on the maximum value of the distance between the typhoon center point and the related data grid points; calculating typhoon intensity evaluation parameters of each concentric annulus region; and taking the brightness temperature data of the related data grid points, the position information of the typhoon center point and the typhoon intensity evaluation parameters as current analysis data to obtain an evaluation result of the typhoon intensity. According to the method, the typhoon intensity can be continuously evaluated in real time without being limited by terrains, traffic and human activities, remote evaluation of the typhoon intensity is achieved, and higher safety is achieved.

The invention relates to the technical field of high-voltage power supply wiring terminal monitoring, in particular to a safety state monitoring method and system for a high-voltage power supply wiring terminal, and the method comprises the steps: obtaining the current data of a connection line of the high-voltage power supply wiring terminal and the temperature data of the wiring terminal; dividing a rising process, a falling process and a constant process to obtain a square wave impact current and a non-square wave impact current; the steep degree of current change in the rising and falling process and the deviation degree of current data in the constant process are analyzed, a current impact coefficient is obtained, a current impact temperature change consistency coefficient is constructed, a synchronous abnormal coefficient of each time period is obtained, and the state of the high-voltage power supply wiring terminal is monitored. According to the invention, the accuracy of monitoring the safety state of the high-voltage power supply wiring terminal is improved.

The invention relates to a fault current analysis method based on first-order Taylor expansion, and the method comprises the following steps: 1, determining a system control strategy which is a network construction type control strategy and comprises a power loop, a virtual impedance link and a voltage and current loop; the power loop comprises an active power control loop and a reactive power control loop; 2, constructing a differential algebraic equation set model capable of representing the dynamic state of the system; 3, according to the characteristic that the integral value does not suddenly change at the moment before and after the fault occurs, the steady state before the fault is utilized to solve and obtain an instant state variable value after the fault, and then an instant dq-axis current value after the fault and an instant current amplitude value after the fault are obtained; 4, performing first-order Taylor expansion on the constructed differential algebraic equation set at the solved post-fault instant state variable value and the dq-axis current value, and converting a nonlinear differential algebraic equation set model into a linear differential algebraic equation set; and 5, analyzing the fault current.

The invention provides a power system stability analysis method based on impedance measurement data. The method comprises the following steps: determining that a current analysis working condition is a working condition in which a disturbance voltage source is connected in series or a disturbance current source is connected in parallel in an equivalent circuit diagram corresponding to a converter topological structure diagram; under the current analysis working condition, acquiring a disturbance voltage component and a disturbance current component generated at the converter side so as to obtain converter impedance measurement data carrying amplitudes and phase angles at a plurality of frequency points, and acquiring a disturbance voltage component and a disturbance current component generated at the power grid side so as to obtain the impedance measurement data; obtaining power grid equivalent impedance measurement data carrying amplitudes and phase angles under a plurality of frequency points; and comparing the impedance measurement data of the converter with the equivalent impedance measurement data of the power grid at the same frequency point, and judging the risk of oscillation instability of the power system according to each comparison result. Implementation of the invention aims to reduce complexity of impedance measurement operation, thereby improving analysis accuracy.

The invention discloses a fault current analysis method and system for a multi-terminal flexible DC circuit, and the method comprises the steps: analyzing fault current data when the DC side of a modular multilevel converter is short-circuited, and obtaining time sequence segmentation rule data; performing equivalent processing on the modular multilevel converter based on the segmentation rule data to obtain an equivalent circuit model comprising an RLC series circuit and a time-varying current source; constructing a second-order differential equation for describing the fault current according to the equivalent circuit model, and solving the second-order differential equation to obtain a fault current expression containing dynamic alternating current feed-in; constructing a fault equivalent network of the multi-terminal flexible DC circuit; and constructing a state-space equation of the fault equivalent network based on a branch current method and the fault current expression, and solving the state-space equation to obtain fault current data of the multi-terminal flexible DC circuit. According to the method, the accuracy of fault analysis is improved.

The invention relates to the technical field of NV color centers, and discloses an NV color center magnetic field and current measurement method and system. The method comprises the following steps: performing decomposition and noise reduction on the two to generate target three-dimensional data, and constructing a joint response equation by combining the resonant frequency offset and the fluorescence intensity change value of the target three-dimensional data; and finally, decoupling the equation to obtain a global magnetic field estimation value, and determining a current density distribution diagram according to the value and the vacuum magnetic conductivity. According to the method, the initial signal quality is improved through the quantum coherence enhanced pulse sequence, the influence of interference such as environmental thermal noise on the magnetic field signal is effectively weakened through decomposition noise reduction and joint response equation decoupling, and the magnetic field characteristics are accurately extracted, so that high-precision data support is provided for subsequent magnetic field analysis and current density distribution determination. The technical problem that in the prior art, interference such as environmental thermal noise exists generally, so that initially-collected magnetic field signals are mixed with a large amount of noise, and follow-up magnetic field and current analysis is seriously affected is solved.

The invention discloses an analysis method of an industrial communication protocol, and particularly relates to the field of industrial communication. Dividing the data frame into a standard protocol frame and a non-standard protocol frame through an industrial communication protocol specification; performing consistency evaluation on key communication parameters in the standard protocol frame to ensure the logic rationality of the data frame; dynamic fields in the non-standard protocol frame are analyzed, the compatibility of a frame structure to industrial communication protocol variation is evaluated, and the adaptive capacity of an analysis strategy is improved; and judging whether the current analysis strategy needs to be updated or not according to the consistency and compatibility results, evaluating the adjustment adaptability of the analysis rule, and quantifying the influence degree of rule adjustment on the analysis precision. Through comprehensive analysis of the consistency score, the compatibility coefficient and the accuracy coefficient, the reliability of the current analysis strategy is determined, challenges of multi-protocol coexistence and dynamic change in a complex industrial communication environment are effectively dealt with, and a technical guarantee is provided for stable and efficient operation of an industrial network.

The invention discloses a log data generation method and device based on a support vector machine, equipment and a medium. The method comprises the steps of performing data segmentation on a target historical log data set corresponding to a current analysis demand according to a preset data segmentation strategy to obtain a target training set and a target test set, performing model training on a basic support vector machine model corresponding to the current analysis demand based on the target training set to obtain a to-be-selected support vector machine model, performing model optimization on the to-be-selected support vector machine model based on the target test set to obtain a target support vector machine model meeting a preset optimization standard; based on a preset scene demand and a preset scene generation strategy, determining a target definition scene corresponding to the current analysis demand; and determining target log data corresponding to the current analysis demand based on the target definition scene and the target support vector machine model. Through the technical scheme of the invention, the log behavior in a real scene can be accurately simulated, and the authenticity and reliability of the log data are improved.

The invention discloses a wind wheel imbalance detection and correction method and system based on variable-pitch motor current analysis, and the method comprises the steps: comparing the current amplitudes of blade variable-pitch motors of a wind turbine generator at the same wind speed and the same azimuth angle, and obtaining a current amplitude deviation; judging whether the current amplitude deviation is greater than a preset current amplitude deviation threshold value or not; if the current amplitude deviation is greater than a preset current amplitude deviation threshold, determining that the wind wheel of the wind turbine generator is unbalanced; counting the number of times that the current amplitude deviation is greater than a preset current amplitude deviation threshold value for the unbalanced wind wheel of the wind turbine generator; and if the counted number of times is larger than or equal to the preset limit value, variable-pitch angle adjustment is conducted on the unbalanced wind wheel of the wind turbine generator according to the current amplitude deviation till the wind wheel of the wind turbine generator is balanced, and when variable-pitch angle adjustment is conducted, different pitch angles are adjusted and set according to the wind speed. And pneumatic balance and stability of the blade can be kept, vibration and fatigue damage of the wind turbine generator are reduced, and manual compensation by maintenance personnel is not needed.

The invention provides a power distribution network grounding fault rapid positioning, isolation and recovery method and system, and relates to the technical field of power system fault detection, and the method comprises the steps: dividing a power distribution line interval segment between two adjacent node switches into monitoring units through each node switch on a power distribution network line; the method comprises the following steps: synchronously acquiring power grid quantity data, switch state information, fault signals and fault event processing information through a power distribution terminal by utilizing a wide-area synchronization method of Beidou clock signals; fault monitoring is carried out, and a fault monitoring result is synchronized to all the power distribution terminals; a multi-point zero-sequence current analysis method is utilized to position a grounding fault interval; the upstream power distribution terminal, the downstream power distribution terminal and the switch equipment of the grounding fault interval are used for isolating the grounding fault area; and recovering the power supply of the non-grounding fault section. The automation level and the management level of the power distribution network are improved, and the maintenance cost of the power distribution network is reduced.

The invention relates to the technical field of electrical insulation detection, in particular to a composite insulation on-line monitoring method and device used in the running state of a middle-high voltage motor. According to the method, key parameters such as low-frequency alternating-current leakage current, voltage response characteristics and insulation resistance change values are synchronously collected through a modular monitoring terminal in the operation process of a motor, and a multi-parameter diagnosis vector is constructed by combining low-frequency leakage current analysis and direct-current excitation measurement technologies; and feature extraction, comparative analysis and health level evaluation are carried out by using an edge computing terminal, so that four-level classification of the insulation state is realized. The matched device comprises a monitoring terminal, a data communication module, an edge computing intelligent terminal and an industrial-grade touch display module, has the functions of local storage, breakpoint resume, authority management and the like, can be widely applied to operation maintenance and fault early warning of a middle-high voltage motor, and improves the operation safety and the operation and maintenance intelligent level of equipment.

The invention discloses a doubly-fed wind turbine generator fault current analysis and controller parameter identification method, a storage medium and equipment, and belongs to the technical field of electric power. The method aims at solving the problems that an existing identification method for the double-fed fan in the fault state is low in identification precision, depends on optimization algorithm performance and is not suitable for practical engineering due to the fact that an identification scene is too ideal. According to the method, firstly, an accurate and detailed doubly-fed fan topology, an RSC controller and an LVRT control strategy are established, and then a detailed doubly-fed fan fault current analytic expression is obtained through derivation of a mathematical model; a reactive support coefficient, a reactive voltage threshold and a maximum current are determined through a voltage drop fault test, then a rotor reactive current reference value is obtained according to a voltage drop value corresponding to a new fault, the reactive support coefficient and the reactive voltage threshold, and a power current reference value is obtained by combining the maximum current. And controller parameters in the RSC controller are identified based on the fault current analytical expression.

The invention discloses a light source driving module and a vehicle lamp comprising the same, and relates to the technical field of light source driving. The light source driving module comprises a target analysis unit which is used for monitoring a current speed value of a vehicle, a current state parameter set of a vehicle lamp and a current environment state parameter set in a set area, and inputting the current speed value, the current state parameter set and the current environment state parameter set into a pre-trained target analysis model to analyze a target state parameter set of the vehicle lamp in the set area; the current analysis unit is used for analyzing a target state parameter set of the vehicle lamp in a set area; the pre-training target analysis model is introduced, real-time collection and data fusion of the current vehicle speed, the vehicle lamp state and the regional environment parameters are achieved, the brightness, the color temperature and the light beam angle target state of the vehicle lamp can be dynamically generated, and therefore the target state of the vehicle lamp, the color temperature and the light beam angle can be dynamically generated. And the driving module can automatically adjust a driving current set according to real-time data, so that actual lighting requirements can be accurately matched under various road and environment working conditions.

The invention discloses a sample self-relay method for laboratory real-time quality control and an automatic system, and belongs to the technical field of clinical laboratory automatic quality control. According to the method, an independent quality control cycle is established for a plurality of preset key concentrations, and a concentration-bias and concentration-inaccuracy mapping table is established based on historical quality control data. Independent counting is maintained for each target concentration, when the detection number reaches the length L of the current analysis batch, quality control is automatically triggered, two patient samples with the concentrations meeting the requirements are screened from the current detection batch to serve as a self-relay quality control sample pair, and judgment is conducted according to the rule of 1-3 s after returning and re-detection. And meanwhile, querying a mapping table according to the actual concentration of the sample to calculate a sigma value, querying a preset sigma-L mapping table based on the sigma value, and dynamically updating the next analysis batch length of the target concentration. Each cycle operates independently and asynchronously to form a closed loop, so that accurate, automatic and real-time quality control of different concentrations and different frequencies is realized, and the implementation bottleneck of personalized 6 sigma quality control in cost and reliability is overcome.

The invention discloses a low-voltage cabinet and an operation environment monitoring and early warning system thereof, and belongs to the technical field of low-voltage electrical equipment monitoring. The system comprises an information acquisition module, an electromagnetic environment analysis module, an in-cabinet environment analysis module, an operation activity analysis module, a temperature-leakage current analysis module and a flow rate optimization module. A plurality of environmental coefficient and collaboration models are constructed by collecting various indexes such as electromagnetism, gas, air pressure, operation frequency and the like, temperature and leakage current thresholds are dynamically calibrated, and the air velocity in the cabinet is optimized based on a temperature-leakage current collaboration coefficient and an operation activity coefficient. The system can comprehensively sense the operation state of the low-voltage cabinet, achieves precise early warning and intelligent ventilation, and effectively improves the operation safety and energy efficiency level of equipment.

The invention relates to the technical field of motor harmonic suppression, in order to solve the known problem of motor harmonic, in particular to a PWM harmonic suppression method for a vehicle permanent magnet synchronous motor driving system, which comprises the following steps of: (1) acquiring three-phase stator current signal data of the vehicle permanent magnet synchronous motor driving system; (2) amplitude information of fundamental waves and harmonic components of all orders is extracted based on the three-phase signal data in the current analysis window; (3) constructing a plurality of PWM modulation mode candidate sets in a system control logic, and randomly generating a new candidate PWM mode according to a transition probability rule; (4) constructing a performance difference index between the current state and the candidate state for the generated candidate PWM control mode, and judging whether the candidate PWM mode is accepted as a new current state or not; (5) performing multiple rounds of global search and strategy screening, and finally enabling the system to approach the optimal PWM control state; and (6) the system generates a PWM driving signal according to the optimal strategy to drive the permanent magnet synchronous motor to operate stably.

The invention provides a picoampere-level current measuring device and method with leakage estimation and digital compensation, and the device comprises an electrometer-level operational amplifier and a transimpedance feedback network which are used for converting a measured current into a voltage signal; in combination with a retaining ring conductor driven by a retaining ring buffer and an inner and outer double-layer metal shielding structure, high-resistance node leakage and external interference are remarkably reduced. The digital controller injects 5mV-50mV micro excitation into the retaining ring in a non-sampling window and detects output response so as to estimate input equivalent leakage conductance and perform online compensation; and meanwhile, environment self-adaptive correction is carried out according to a temperature and humidity-leakage admittance model. The system adopts a 24-bit analog-to-digital converter, two-stage zero-drift amplification and multi-point linearity calibration can be switched, picoampere-level current measurement with high precision, low noise and wide dynamic range is realized, and the system is suitable for the fields of high-insulation detection, light current measurement, electrochemical micro-current analysis and the like.

The invention discloses a full-power type wind turbine generator fault occurrence moment current analysis method and related equipment, and the method comprises the steps: obtaining control parameters and operation parameters of a full-power type wind turbine generator, and when low-voltage fault ride-through is detected, substituting the control parameters and the operation parameters into a fault ride-through controller model, fault current partition logic is combined to obtain fault current analytic expressions corresponding to different fault state intervals, and then the current instruction data are substituted into the fault current analytic expressions under the corresponding fault state intervals, so that current analysis is carried out through the fault current analytic expressions and a closed-loop transfer function, and fault current analysis is carried out through the fault current analytic expressions and the closed-loop transfer function. And obtaining the fault current at the fault occurrence moment of the full-power wind turbine generator. According to the scheme, the control strategy of the active and reactive current during low voltage ride through is analyzed, and the current analysis formula of the fault occurrence moment corresponding to each fault current partition is obtained by combining different fault current partitions, so that the fault current of the unit fault occurrence moment is obtained based on the current analysis formula.

The invention relates to the field of nuclear power detection, in particular to an array wave arrival time positioning algorithm. The positioning method comprises the following steps: calculating background noise of a sampling channel; original time domain signals are processed, and the short effective value of each monitoring point is calculated in a sliding window mode; a preset threshold value is compared with the short effective value of the current analysis window, the preset threshold value is obtained by multiplying a background noise root-mean-square value RMS background by a threshold value factor k, points meeting # imgabs0 # serve as candidate points of the arrival time of the array transmitted waves of the channel, and the arrival time of the candidate points is recorded as T; based on the principle of the step 3, carrying out the recognition and elimination of accidental array waves; and after the accidental array waves are eliminated, a preliminarily determined array wave arrival time interval is obtained, and the delay time difference of the array wave arrival time is optimized. According to the method, the influence of accidental array waves can be reduced, the time positioning lag error in a conventional algorithm is reduced, the defects of a conventional array wave arrival time positioning method are overcome, and the diagnosis precision of a loose part monitoring system is improved.

The present application relates to the technical field of antifreeze for locomotive sanitary facilities, and specifically to a locomotive toilet antifreeze emptying intelligent control method and system, the method comprising: using a dynamic weighted fusion algorithm to dynamically allocate weights for multi-source locomotive toilet-related data, quantifying the dynamic risk index of multi-source locomotive toilet-related data within the current analysis period; combining the long-term risk trends and short-term risk mutations of all dynamic risk indices calculated for all collected analysis periods, and fusing the two to construct a long-term and short-term dual-modal icing risk index; and using the dual-modal icing risk index to set a multi-level threshold antifreeze mechanism strategy. The present application aims to enable locomotive toilets to dynamically adapt to extreme cold environments, reduce energy consumption, and avoid misjudgments and failures caused by static weight allocation and single indicator evaluation in traditional systems through dynamic long-term and short-term risk analysis and graded antifreeze processing of multi-source locomotive toilet-related data.

The application discloses a fault current analysis method and system of a multi-terminal flexible DC circuit, wherein the method comprises the following steps: analyzing fault current data when a modular multilevel converter DC side is short-circuited to obtain time sequence segmentation rule data; performing equivalent processing on the modular multilevel converter based on the segmentation rule data to obtain an equivalent circuit model comprising an RLC series circuit and a time-varying current source; constructing a second-order differential equation describing the fault current according to the equivalent circuit model, and solving the second-order differential equation to obtain a fault current expression containing dynamic AC feed-in; constructing a fault equivalent network of the multi-terminal flexible DC circuit; constructing a state space equation of the fault equivalent network based on a branch current method and the fault current expression, and solving the state space equation to obtain fault current data of the multi-terminal flexible DC circuit. The method improves the accuracy of fault analysis.

The invention provides a power distribution network closed-loop power regulation safety checking method, and belongs to the field of power distribution networks. The method comprises the following steps: detecting all electrical parameters of a power grid, calculating a voltage difference, a phase difference and impedance, and performing safety check according to steady-state current and impact current analysis, thereby ensuring the accuracy and safety of closed-loop power regulation of the power distribution network. The method comprises the following steps: firstly, detecting all electrical parameters at detection points before and after loop closing, then calculating the voltage difference and phase difference of the parameters, and judging whether the loop closing is reasonable or not. Furthermore, the loop impedance is calculated by measuring the voltage vector difference and predicting the loop closing current. According to the characteristics of the power grid, during each loop closing, the impedance should be updated to keep accuracy. Meanwhile, the impact current and the steady-state current are calculated and analyzed. If the security check of all key nodes is passed and the conditions in the step 2 meet the requirements, a result is obtained, and loop closing can be carried out.

The invention discloses a training method and device for an electroencephalogram data analysis model and electronic equipment. The method comprises the steps that electroencephalogram training data are collected; the electroencephalogram training data is electroencephalogram signals formed when the target object controls a cursor in a preset training graph to move according to a preset intention; analyzing the electroencephalogram training data based on the current analysis model to obtain a cursor brain control signal; the current analytical model is determined from a historical model library; determining a control result based on the current brain control proportion and the cursor brain control signal; training a preset model to obtain an electroencephalogram data analysis model, and storing the electroencephalogram data analysis model to a historical model library; meanwhile, the current brain control proportion is adjusted based on the control result, the process is repeated till training is finished, and the current analysis model after training is finished is determined as the target electroencephalogram data analysis model. According to the training method, the electroencephalogram data analysis model can be efficiently and conveniently trained, so that the model is periodically and rapidly updated, and the model in actual use can adapt to changes of physiological features of a user.

The invention discloses a DC fault current analysis and calculation method suitable for multi-type MMC converters, and the method comprises the steps: determining the topology type of an MMC converter related to a fault line, and collecting core parameters; constructing an RLC series unified equivalent circuit model of the MMC, and correcting the RLC series unified equivalent circuit model based on the topology type to obtain an equivalent circuit correction model; and determining a DC fault current based on the equivalent circuit correction model. According to the method, a technical architecture of'unified modeling + differential correction 'is constructed, multiple types of MMC converters are abstracted into an RLC basic equivalent model, local parameter correction is carried out only for fault characteristic differences of different topologies, and the tedious process of repeated modeling is effectively avoided; meanwhile, converter active current limiting strategies such as locking and negative input control are considered in the modeling process of fault current analytical calculation, the model architecture has good expansibility, various control strategies can be flexibly fused, and deep fusion of the electromagnetic transient process and the control process is achieved.

Embodiments of the present application provide a method, medium and electronic device for automatic data analysis, the method comprising: obtaining an original data file and a current analysis target; obtaining a target data table according to initial data characteristics of the original data file; obtaining updated data characteristics corresponding to the original data file according to the target data table; inputting the updated data characteristics and the current analysis target into a pre-constructed analysis method recommendation knowledge base to obtain a candidate analysis method set; performing effect simulation pre-evaluation on at least part of the analysis methods in the candidate analysis method set according to the target data table to obtain real-time performance evaluation indexes of each method; obtaining a target analysis method selected for the current analysis target based on a reinforcement learning decision model; and analyzing the target data table using the target analysis method to generate an analysis result.